OPNEX will use the recent advances in system theoretic network control to develop algorithms and techniques to push the performance of wireless networks well beyond the current one. Of particular interest are the back-pressure principle, max-weight scheduling, utility optimization congestion control and primal-dual method for designing algorithms comprising the physical, link/access, network and transport layers.
In this effort, it is key to
In this effort, it is key to
- Develop efficient light-weight algorithms amenable to decentralized operation, and robust to topology and traffic load variations;
- Coordinate multi-layer mechanisms to achieve optimal network operation in terms of throughput, spectrum and energy utilization, as well as efficient handling of multi-cast and delay-sensitive streaming media traffic ;
- Ensure legitimate autonomous network operation by designing game theory-based resource allocation schemes and methods for imposing and testing adherence to protocols;
- Resolve practical problems of network control such as coping with partial, inaccurate or delayed information, allowing asynchronous operation, ensuring low computational complexity and minimal signalling overhead;
- Quantify the benefits, requirements and trade-offs in terms of efficiency and robustness versus operational simplicity and signalling overhead in dynamically changing networks with minimal infrastructure